Micro-scale traceability algorithm based on park atmospheric concentration monitoring system
The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating...
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| creator | LI HAINI LI XIONGWEI TU MOXIN GUO YUN JIANG MUXIAN MI JUNRUI LIU ZHENXIN |
| description | The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating a probability density field under different main wind directions, and carrying out the inversion of a high emission distribution probability density field through a Gaussian diffusion model. And finally, a total high emission distribution probability density field is obtained based on wind frequency weighting. And through multi-dimensional data processing of the monitoring data, the data quality is more stable, and the traceability credibility is improved.
本发明提供一种基于园区大气浓度监测系统的微尺度溯源算法，包括数据的标准化处理、剔除缺值场、筛选异常高值区域、计算不同主风向下的概率密度场、利用高斯扩散模型反演高排放分布概率密度场，最后基于风频加权得到总高排放分布概率密度场。并且通过对监测数据的多维度数据处理，使得数据质量更加稳定，提高了溯源的可信度。 |
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本发明提供一种基于园区大气浓度监测系统的微尺度溯源算法，包括数据的标准化处理、剔除缺值场、筛选异常高值区域、计算不同主风向下的概率密度场、利用高斯扩散模型反演高排放分布概率密度场，最后基于风频加权得到总高排放分布概率密度场。并且通过对监测数据的多维度数据处理，使得数据质量更加稳定，提高了溯源的可信度。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; GYROSCOPIC INSTRUMENTS ; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240709&DB=EPODOC&CC=CN&NR=118311205A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240709&DB=EPODOC&CC=CN&NR=118311205A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI HAINI</creatorcontrib><creatorcontrib>LI XIONGWEI</creatorcontrib><creatorcontrib>TU MOXIN</creatorcontrib><creatorcontrib>GUO YUN</creatorcontrib><creatorcontrib>JIANG MUXIAN</creatorcontrib><creatorcontrib>MI JUNRUI</creatorcontrib><creatorcontrib>LIU ZHENXIN</creatorcontrib><title>Micro-scale traceability algorithm based on park atmospheric concentration monitoring system</title><description>The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating a probability density field under different main wind directions, and carrying out the inversion of a high emission distribution probability density field through a Gaussian diffusion model. And finally, a total high emission distribution probability density field is obtained based on wind frequency weighting. And through multi-dimensional data processing of the monitoring data, the data quality is more stable, and the traceability credibility is improved.
本发明提供一种基于园区大气浓度监测系统的微尺度溯源算法，包括数据的标准化处理、剔除缺值场、筛选异常高值区域、计算不同主风向下的概率密度场、利用高斯扩散模型反演高排放分布概率密度场，最后基于风频加权得到总高排放分布概率密度场。并且通过对监测数据的多维度数据处理，使得数据质量更加稳定，提高了溯源的可信度。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjTEKAjEQRdNYiHqH8QALxkWwlUWx0cpSWGbjuBtMMiEzzd7eFB7A6hfvPf7SPG_eFW7EYSDQgo5w8MHrDBhGLl6nCAMKvYATZCwfQI0seaLiHThOjlLN1FccOXmtTRpBZlGKa7N4YxDa_HZltpfzo7s2lLknyfUtkfbd3dpja-1-dzi1_zhfJxM8zQ</recordid><startdate>20240709</startdate><enddate>20240709</enddate><creator>LI HAINI</creator><creator>LI XIONGWEI</creator><creator>TU MOXIN</creator><creator>GUO YUN</creator><creator>JIANG MUXIAN</creator><creator>MI JUNRUI</creator><creator>LIU ZHENXIN</creator><scope>EVB</scope></search><sort><creationdate>20240709</creationdate><title>Micro-scale traceability algorithm based on park atmospheric concentration monitoring system</title><author>LI HAINI ; LI XIONGWEI ; TU MOXIN ; GUO YUN ; JIANG MUXIAN ; MI JUNRUI ; LIU ZHENXIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118311205A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>LI HAINI</creatorcontrib><creatorcontrib>LI XIONGWEI</creatorcontrib><creatorcontrib>TU MOXIN</creatorcontrib><creatorcontrib>GUO YUN</creatorcontrib><creatorcontrib>JIANG MUXIAN</creatorcontrib><creatorcontrib>MI JUNRUI</creatorcontrib><creatorcontrib>LIU ZHENXIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI HAINI</au><au>LI XIONGWEI</au><au>TU MOXIN</au><au>GUO YUN</au><au>JIANG MUXIAN</au><au>MI JUNRUI</au><au>LIU ZHENXIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Micro-scale traceability algorithm based on park atmospheric concentration monitoring system</title><date>2024-07-09</date><risdate>2024</risdate><abstract>The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating a probability density field under different main wind directions, and carrying out the inversion of a high emission distribution probability density field through a Gaussian diffusion model. And finally, a total high emission distribution probability density field is obtained based on wind frequency weighting. And through multi-dimensional data processing of the monitoring data, the data quality is more stable, and the traceability credibility is improved.
本发明提供一种基于园区大气浓度监测系统的微尺度溯源算法，包括数据的标准化处理、剔除缺值场、筛选异常高值区域、计算不同主风向下的概率密度场、利用高斯扩散模型反演高排放分布概率密度场，最后基于风频加权得到总高排放分布概率密度场。并且通过对监测数据的多维度数据处理，使得数据质量更加稳定，提高了溯源的可信度。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING GYROSCOPIC INSTRUMENTS INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING |
| title | Micro-scale traceability algorithm based on park atmospheric concentration monitoring system |
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